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Wi-Fi fingerprint similarity in collaborative radio maps for indoor positioning
Positioning systems based on Wi-Fi fingerprinting has become very popular in recent years. These systems have been attracting the attention of many researchers and companies because they provide a low cost solution for real time positioning of both people and objects. However, the construction of radio map that supports these solutions remain a challenge in both indoor and outdoor environments. This paper discusses the potential of engaging users of mobile applications for social networks in the collaborative construction of ra- dio maps. Particularly, it describes a solution to improve the users’ experience when moving to unmapped areas. Some experimental results are presented to assess the proposed solution. ; This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: Pest OE/EEI/UI0319/2014.
Wi-Fi fingerprint similarity in collaborative radio maps for indoor positioning
Positioning systems based on Wi-Fi fingerprinting has become very popular in recent years. These systems have been attracting the attention of many researchers and companies because they provide a low cost solution for real time positioning of both people and objects. However, the construction of radio map that supports these solutions remain a challenge in both indoor and outdoor environments. This paper discusses the potential of engaging users of mobile applications for social networks in the collaborative construction of ra- dio maps. Particularly, it describes a solution to improve the users’ experience when moving to unmapped areas. Some experimental results are presented to assess the proposed solution. ; This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: Pest OE/EEI/UI0319/2014.
Wi-Fi fingerprint similarity in collaborative radio maps for indoor positioning
Matos, Diogo André da Silva (Autor:in) / Moreira, Adriano (Autor:in) / Meneses, Filipe (Autor:in)
04.09.2014
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC:
690
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